tecton_sdk_online_feature_fetch_for_realtime_inference.py

1import tecton
2import pandas as pd
3from datetime import datetime
4
5# Initialize the Tecton client
6# Replace <CLUSTER_URL> with your Tecton cluster URL (e.g., https://my-cluster.tecton.ai)
7# Replace <API_KEY> with your Tecton API Key
8client = tecton.get_online_client(url="<CLUSTER_URL>", api_key="<API_KEY>")
9
10# Define the Feature Service and the Join Key (Entity)
11feature_service_name = "fraud_detection_feature_service"
12join_keys = {"user_id": "user_49239085"}
13
14# Fetch online features for a single entity
15# This returns a FeatureVector object containing the feature values
16online_features = client.get_features(
17    feature_service_name=feature_service_name,
18    join_keys=join_keys
19)
20
21# Access the feature values as a dictionary
22print("Online Features:")
23print(online_features.to_dict())
24
25# Example: Fetching features with Request Data (contextual data provided at request time)
26request_data = {"amt": 50.00}
27online_features_with_context = client.get_features(
28    feature_service_name=feature_service_name,
29    join_keys=join_keys,
30    request_data=request_data
31)
32
33print("\nOnline Features with Request Data:")
34print(online_features_with_context.to_dict())